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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 5 years of experience in a data-driven environment, building and deploying investigative solutions at scale. Ability to write SQL and use Python to build data pipelines, analyze data, and develop forecasting models (statistical or ML). Ability to influence executive stakeholders and manage projects with minimal oversight. Ability to work flexible hours aligned with North America. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead the strategy, development, and implementation of forecasting models, and code for critical systems. This role requires overlap with the US PDT time zone on a daily basis. Own the functional requirements and data pipelines for critical operational metrics, either directly or through oversight of supplier resources. Act as a technical mentor for statistical methods and other investigative solutions and provide technical oversight to unblock automation goals. Architect, develop, and deploy scalable forecasting and Machine Learning (ML) solutions using Python, and drive the adoption of coding practices to ensure repeatable analyses that optimize global vendor operations. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience in software development. 6 years of experience in full-stack software development and system design. Experience with frontend languages (e.g. JavaScript or TypeScript). Experience with backend languages (e.g. Java, Python, or C++). Experience working with database technologies (e.g. SQL, NoSQL). Preferred qualifications: Experience collaborating with team and business stakeholders on project requirements. About the jobAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Design, build, deploy, and improve elegant, scalable, and modern full-stack web applications using standard and Google-specific software development tools. Ensure reliable backends, build pipelines to aggregate data from multiple sources, implement responsive and UX-rich front-ends, or enhance performance of existing tools and services. Analyzing problems and develop solutions, while identifying dependencies and resolve issues to drive implementation. Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL). Provide subject-matter expertise and utilize comprehensive knowledge of Google's relevant technologies, principles, practices, and coding standards. Collaborate with cross-functional users and stakeholders to identify pain points and devise innovative technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. 6 years of experience in telecommunications at carrier scale working with optical network infrastructure, transmission systems, layer2/3 routers, and data services. Preferred qualifications: Experience with network infrastructure components such as traditional and application firewalls, content management systems, and multi-tiered architectures. Experience with security design and troubleshooting for multi-service enterprise WiFi networks with multiple classes of users. Experience coding in Python or Go, with the ability to translate ideas into solutions. Experience with advanced network monitoring tools and protocols such as SNMP, Streaming Telemetry, and OpenConfig. Knowledge of networking protocols and technologies, including BGP, EVPN, MPLS, SD-WAN, MC-LAG, 802.1X, MACSec, and advanced IP Routing Policies. About the jobAs a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success. You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally. Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.Responsibilities Serve as a subject matter expert in multiple network domains (e.g., Routing, Switching, Wireless, Firewalls, SD-WAN, Network Automation). Lead initiatives to meet and exceed Service Level Objectives (SLOs), aiming for a 99.95% network availability goals globally. Lead the operational aspects of New Product Introductions (NPIs), including designs like Next Generation (NextGEN) WAN and Office. This involves testing, defining operational requirements, developing support models, and creating documentation. Develop scripts and tools (often using Python or Go) to automate network diagnostics, configuration, and monitoring tasks. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications:Bachelor’s degree or equivalent practical experience.2 years of experience programming in Java, C++, Python, C# or Go.2 years of experience programming in JavaScript or TypeScript.Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.2 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc.2 years of experience with data structures or algorithms in either an academic or industry setting.Experience developing accessible technologies. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience with C/C++, Java, or Python programming languages, and Android/Linux systems. Experience with scripting in Shell and Python. Experience in Android, Android open source project and automated testing. About the jobOur goal is to ensure the best possible user experience for YouTube products on any connected devices.In this role, you will deliver technical solutions and tools to empower internal teams and our partner teams worldwide. You will lead deployments, optimize implementations, and manage integrations to build strong, successful, long-term device partnerships. You will also have the opportunity to lead projects and teams that require collaboration with other teams like Product, Engineering, Business Development, Operations and Marketing. You will be improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations and taking new initiatives from conception to successful deployment. You will balance business and partner needs with technical constraints, develop solutions and act as a partner and consultant to those you are working with. You will build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical tests. Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration (e.g., new and ongoing) by providing necessary documentation and technical guidance. Identify, guide, and optimize the business flow from new existing and new business opportunities by leveraging YouTube technologies. Work with the Android TV partners in the region and globally to accelerate and improve YouTube integrations on new consumer devices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Please complete your application before July 31, 2026.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field Experience in programming languages (e.g., C++, Python, Verilog, UVM), Synopsys and Cadence tools Experience in one or more of the following areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, memory systems Preferred qualifications: Experience with performance modeling tools, C++, Python or silicon design tools in front end/design verification/physical design Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies; computer architecture; linear algebra; or ML/DL background Knowledge of high performance and low power design techniques Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time About the jobAs a Silicon Engineering Intern, you will work in a team that is shaping the future of Google Cloud Silicon, including TPUs, arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements and manages the hardware, software, machine learning and systems infrastructure for all Google services (e.g., Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest Cloud Silicon products to running a global network, while driving towards shaping the future of hyperscale computing. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Responsibilities may vary based on specific teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with statistical analysis, modeling and inference. Preferred qualifications: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Pursuing a PhD program with a focus in software development or other technical related field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with data structures, algorithms, and software design. Preferred qualifications: Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobJoin us for a 12+ week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Our recruitment team will determine where you fit best based on your resume.As a Software Engineering Intern, you will work on a specific project critical to Google’s needs.Software Engineering Intern:You will be a key player on a dynamic team, driving the development of AI-integrated software and high-performance applications. Your primary objective is to design, deploy, and maintain the end-to-end infrastructure that sustains our large-scale systems. This is a unique opportunity to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Foster a culture of productivity and innovation by actively supporting your peers and managers. Collaborate across teams to ensure the continued success and evolution of the AI-driven software and large-scale systems that define our technical landscape.Develop scalable engineering solutions for Google products.Analyze information and evaluate results to choose the best solution to effectively solve issues.Apply knowledge gained in computer science courses to real world challenges. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience. 6 years of experience in full-stack software development and system design. Experience with front end languages (e.g. JavaScript or TypeScript). Experience with backend languages (e.g. Java, Python, or C++). Experience working with database technologies (e.g. SQL, NoSQL). Preferred qualifications: 2 years of experience with Site Reliability Engineering, Information Security or DevOps practices. 2 years of experience as a Tech Lead or Engineering Manager. Knowledge of technical constraints designing for web technologies. About the job Technology and Insights Support Systems domain delivers technology to YouTube Support, optimizing the systems that empower our global support communities, ensuring seamless, delightful experiences for millions of users to increase the loyalty of our users.As a Web Solutions Engineer on the YouTube Business Technology team, you will be responsible for managing solutions that make the broader YouTube organization more efficient. Your efforts will launch quickly and have an immediate impact on those around you.You will be working as a part of an engineering team responsible for developing and supporting tools, prototyping proofs of concept, and writing/reviewing technical design documents to meet the needs of our services teams. You will adhere to Google’s software development best practices and work in close partnership with other project/product management and engineering teams. We are a team that provides efficient and delightful solutions for our support communities to increase the loyalty of the ecosystem of YouTube users. The team designs and develops a variety of tools and systems that are used by YouTube support agents, partners, and users.The Web Solution Engineers (WSEs) on the Support Systems team work across a number of different projects/products. Currently engineers will adjust the projects they are working on based on the need but are primarily focused on a full stack development including (listed in terms of headcount allocated):Web ApplicationBackend ServicesData PipelineAI/ML - use of LLM or model fine-tuningAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Design, build, deploy, and improve elegant, scalable, and modern full-stack web applications using standard and Google-specific software development tools. This may include ensuring reliable backends, building pipelines to aggregate data from multiple sources, implementing responsive and UX-rich front-ends, or enhancing performance of existing tools and services. Analyze problems and develop solutions, while identifying dependencies and resolving issues to drive implementation. Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL). Provide subject-matter expertise and utilize comprehensive knowledge of Google's relevant technologies, principles, practices, and coding standards. Collaborate with cross-functional users and stakeholders to identify pain points and devise innovative technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with SQL, Python, analytics and automation. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Preferred qualifications: Master's degree in a quantitative discipline. Experience working with the technical and policy challenges of AI systems and working on novel AI risks and threat actors engaging in cyber mis-use, societal harms, weaponization, etc. Experience leading complex, cross-functional projects and setting the direction and experience with Python or other scripting languages for data analysis and prototyping. Experience using statistical analysis and hypothesis testing and excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. Excellent communication skills with an interest in innovation, technology, and Google products. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Senior Generative AI Engineering Analyst, you will be a thought leader responsible for architecting our approach to the complex risks associated with AI. You will move beyond day-to-day analysis to define the road map for model safety. Your role will be to anticipate future threats, develop novel evaluation paradigms, and influence Google's product and research direction to ensure safety is a foundational, non-negotiable component of our AI systems.You will have the ability to work across all levels in the organization. You will support in discussions that shape the future of AI at Google and beyond. You will collaborate with many teams within and outside of Trust and Safety. You also will partner with teams to drive operational excellence and deliver cross-functional initiatives.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building the technical solutions, from fine-tuning techniques to classifier-based guardrails. Partner with Engineering, Product, Policy and Legal to set precedents and create defensible principles for new AI capabilities. Analyse the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into a proactive mitigation agenda. Become the go-to person for issues related to the area of the business and use the domain knowledge to provide partners with insights and analyses. Review and be exposed to sensitive or violative content as part of the role. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.